2019
DOI: 10.1021/acsomega.8b03224
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Structural Analysis of Biomolecules through a Combination of Mobility Capillary Electrophoresis and Mass Spectrometry

Abstract: The 3D structures of biomolecules determine their biological function. Established methods in biomolecule structure determination typically require purification, crystallization, or modification of target molecules, which limits their applications for analyzing trace amounts of biomolecules in complex matrices. Here, we developed instruments and methods of mobility capillary electrophoresis (MCE) and its coupling with MS for the 3D structural analysis of biomolecules in the liquid phase. Biomolecules in comple… Show more

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Cited by 29 publications
(40 citation statements)
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“…As depicted in Fig. 1, the hydrodynamic radius obtained from MCE experiments could be further utilized as a selection rule for MD simulations, so that the most probable protein conformation under experimental solvent conditions could be obtained 32,33. Briefly, a lot of possible conformations of a protein could be acquired from the MD simulation, and a selection rule is needed to pick out the most probable protein conformation.…”
Section: Resultsmentioning
confidence: 99%
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“…As depicted in Fig. 1, the hydrodynamic radius obtained from MCE experiments could be further utilized as a selection rule for MD simulations, so that the most probable protein conformation under experimental solvent conditions could be obtained 32,33. Briefly, a lot of possible conformations of a protein could be acquired from the MD simulation, and a selection rule is needed to pick out the most probable protein conformation.…”
Section: Resultsmentioning
confidence: 99%
“…As demonstrated in previous publications,32,33 MCE based experimental results could be used as a selection rule for MD simulations to predict the most probable protein structures in solution. However, the previous method requires the estimation of ion charge states before the ion hydrodynamic radius could be obtained.…”
Section: Theorymentioning
confidence: 96%
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